| Automated detection of pulmonary nodules in PET/CT images: Ensemble false‐positive reduction using a convolutional neural network technique A Teramoto, H Fujita, O Yamamuro, T Tamaki Medical physics 43 (6Part1), 2821-2827, 2016 | 292 | 2016 |
| Automated classification of lung cancer types from cytological images using deep convolutional neural networks A Teramoto, T Tsukamoto, Y Kiriyama, H Fujita BioMed research international 2017 (1), 4067832, 2017 | 263 | 2017 |
| Fast lung nodule detection in chest CT images using cylindrical nodule-enhancement filter A Teramoto, H Fujita International journal of computer assisted radiology and surgery 8, 193-205, 2013 | 157 | 2013 |
| Dynamic PET image denoising using deep convolutional neural networks without prior training datasets F Hashimoto, H Ohba, K Ote, A Teramoto, H Tsukada IEEE access 7, 96594-96603, 2019 | 119 | 2019 |
| Automated classification of benign and malignant cells from lung cytological images using deep convolutional neural network A Teramoto, A Yamada, Y Kiriyama, T Tsukamoto, K Yan, L Zhang, ... Informatics in Medicine Unlocked 16, 100205, 2019 | 100 | 2019 |
| Automated pulmonary nodule classification in computed tomography images using a deep convolutional neural network trained by generative adversarial networks Y Onishi, A Teramoto, M Tsujimoto, T Tsukamoto, K Saito, H Toyama, ... BioMed research international 2019 (1), 6051939, 2019 | 97 | 2019 |
| Deep learning approach to classification of lung cytological images: Two-step training using actual and synthesized images by progressive growing of generative adversarial networks A Teramoto, T Tsukamoto, A Yamada, Y Kiriyama, K Imaizumi, K Saito, ... PloS one 15 (3), e0229951, 2020 | 89 | 2020 |
| Multiplanar analysis for pulmonary nodule classification in CT images using deep convolutional neural network and generative adversarial networks Y Onishi, A Teramoto, M Tsujimoto, T Tsukamoto, K Saito, H Toyama, ... International journal of computer assisted radiology and surgery 15, 173-178, 2020 | 86 | 2020 |
| Automated detection and segmentation of early gastric cancer from endoscopic images using mask R-CNN T Shibata, A Teramoto, H Yamada, N Ohmiya, K Saito, H Fujita Applied Sciences 10 (11), 3842, 2020 | 65 | 2020 |
| Automated solder inspection technique for BGA-mounted substrates by means of oblique computed tomography A Teramoto, T Murakoshi, M Tsuzaka, H Fujita IEEE Transactions on Electronics Packaging Manufacturing 30 (4), 285-292, 2007 | 46 | 2007 |
| A method for the automated classification of benign and malignant masses on digital breast tomosynthesis images using machine learning and radiomic features A Sakai, Y Onishi, M Matsui, H Adachi, A Teramoto, K Saito, H Fujita Radiological Physics and Technology 13, 27-36, 2020 | 45 | 2020 |
| Hybrid method for the detection of pulmonary nodules using positron emission tomography/computed tomography: a preliminary study A Teramoto, H Fujita, K Takahashi, O Yamamuro, T Tamaki, M Nishio, ... International journal of computer assisted radiology and surgery 9, 59-69, 2014 | 44 | 2014 |
| Synthetic CT image generation of shape-controlled lung cancer using semi-conditional InfoGAN and its applicability for type classification R Toda, A Teramoto, M Tsujimoto, H Toyama, K Imaizumi, K Saito, ... International Journal of Computer Assisted Radiology and Surgery 16, 241-251, 2021 | 36 | 2021 |
| Suture-button fixation and anterior inferior tibiofibular ligament augmentation with suture-tape for syndesmosis injury: a biomechanical cadaveric study H Shoji, A Teramoto, D Suzuki, Y Okada, Y Sakakibara, T Matsumura, ... Clinical Biomechanics 60, 121-126, 2018 | 36 | 2018 |
| Lung cancer CT image generation from a free-form sketch using style-based pix2pix for data augmentation R Toda, A Teramoto, M Kondo, K Imaizumi, K Saito, H Fujita Scientific reports 12 (1), 12867, 2022 | 35 | 2022 |
| Bone suppression for chest X-ray image using a convolutional neural filter N Matsubara, A Teramoto, K Saito, H Fujita Physical and Engineering Sciences in Medicine 43 (1), 97-108, 2020 | 29 | 2020 |
| Automated classification of pulmonary nodules through a retrospective analysis of conventional CT and two-phase PET images in patients undergoing biopsy A Teramoto, M Tsujimoto, T Inoue, T Tsukamoto, K Imaizumi, H Toyama, ... Asia Oceania Journal of Nuclear Medicine and Biology 7 (1), 29, 2019 | 25 | 2019 |
| Investigation of pulmonary nodule classification using multi-scale residual network enhanced with 3DGAN-synthesized volumes Y Onishi, A Teramoto, M Tsujimoto, T Tsukamoto, K Saito, H Toyama, ... Radiological physics and technology 13, 160-169, 2020 | 24 | 2020 |
| Automated detection of architectural distortion using improved adaptive Gabor filter R Yoshikawa, A Teramoto, T Matsubara, H Fujita Breast Imaging: 12th International Workshop, IWDM 2014, Gifu City, Japan …, 2014 | 24 | 2014 |
| Weakly supervised learning for classification of lung cytological images using attention-based multiple instance learning A Teramoto, Y Kiriyama, T Tsukamoto, E Sakurai, A Michiba, K Imaizumi, ... Scientific reports 11 (1), 20317, 2021 | 23 | 2021 |
